Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
(Intelligent) Traffic control installation (I-VRI)
- Publication category
- High-Risk AI-system
- Impact assessment
- DPIA
- Status
- In use
General information
Theme
- Traffic
- Space and Infrastructure
Begin date
Contact information
Link to publication website
Link to source registration
Responsible use
Goal and impact
The deployment of iVRIs contributes to efficient traffic flow and accessibility at intersections in a safe and fair way (without people waiting for nothing and a logical sequence). It contributes to the province's mobility task. The deployment of traffic lights in hte general is necessary to efficiently perform the task as road manager of provincial roads.
The algorithm affects traffic participants (motorists, pedestrians, cyclists, trucks, public transport (OV), emergency and emergency services, etc) because it determines the colour of the traffic lights and how long each traffic participant has to wait. iVRIs can give a form of priority to traffic participants. For example, when an ambulance arrives urgently, but also to a group of cyclists or a column of trucks, for example. There are different forms of priority. Absolute priority (cutting off other directions), for example, is used for emergency and emergency services and conditioned priority (the traffic light tries to "regulate" towards a road user) in other cases. The province's priority framework and local circumstances determine the degree of priority for each road user.
Considerations
It is important, because of different interests, to consider when one group of road users has priority over another. This depends on economic reasons (freight traffic priority), the environment (residential area, business park, etc), desired modality (public transport and/or bicycle priority) or necessity (ambulance priority).
Human intervention
The algorithm makes real-time independent decisions. There is no "human in the loop" for these decisions. The decisions made by the algorithm do fall within criteria specified by humans (e.g.: What is the maximum time a traffic light can stay green)
Risk management
Traffic safety is controlled: For traffic lights in general, as soon as a traffic unsafe situation may arise (conflicting directions get green), the algorithm will abort and the traffic lights will start flashing. This is because in addition to the 'control algorithm' that controls the traffic lights, there is also a control algorithm. The abort is due to this separate safety-control algorithm. Apart from this, the general traffic rules also apply when the traffic lights are 'flashing'. Traffic safety is a basic design principle in traffic lights and the algorithms used.
Legal basis
Domain Execution is responsible for the smooth safe handling of road traffic
Elaboration on impact assessments
No direct personal data such as name and address details are stored or processed in an iVRI. The iVRI does receive anonymised position and priority messages from road users. These are used for traffic control but are not otherwise stored. They cannot be traced back to a natural person. The log data stored from a traffic control may contain indirect personal data. In combination with camera images, for example, it can be established whether a particular vehicle drove through a red light, for example. These indirect personal data are not provided to third parties. However, they can be requested by the police.
Impact assessment
Operations
Data
The data used by the algorithm is the real-time data measured by the control system itself using detection loops and pushbuttons, among others. In addition, data is retrieved via national UDAP. These specific data flows (origins from mobiles and on-board computers) have been labelled as (potentially) person traceable data. All parties processing this data have signed a data processor agreement.
The core of iVRIs is the integration of various data sources. These include:
1. Sensors: These are placed at intersections and detect the presence and speed of vehicles.
2. Video cameras: They provide visual data and can be used for object recognition and tracking.
3. Connected vehicles: Modern vehicles often transmit data about their location and speed.
4. Mobile apps: Think of navigation apps that share real-time traffic information.
These data streams are collected and analysed in a central system, where decisions are made about traffic light cycles.
Technical design
The method and models have been established nationwide from the Talking Traffic project and are managed by the LVMB.
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